Mani Entezami - Concepedia

Author

Mani Entezami

University of Birmingham ORCID

Also Known As

M Entezami, M. Entezami, Mani Entezami

Publications

997

Citations

H-Index

Concepts

All Affiliations

University of Birmingham Hunan University

About

Mani Entezami is an author at University of Birmingham specializing in engineering, structural health monitoring, and condition monitoring.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	15	822
2	Civil Engineering	3	3	159
3	Education	1	1	23
4	Management	1	1	32
5	Computer Science	1	1	62

Mani Entezami

Publications

913

Citations

H-Index

Page 1

	Year	Citations
Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network Dingcheng Zhang, Edward Stewart, Mani Entezami, Measurement Fault DiagnosisCondition MonitoringEngineeringMachine LearningDiagnosis	2020	207
Fault detection and diagnosis within a wind turbine mechanical braking system using condition monitoring Mani Entezami, Stuart Hillmansen, Paul Weston, Renewable Energy Fault DiagnosisCondition MonitoringReliability EngineeringEngineeringDiagnosis	2012	78
Adaptive fault feature extraction from wayside acoustic signals from train bearings Dingcheng Zhang, Mani Entezami, Edward Stewart, Journal of Sound and Vibration Fault DiagnosisCondition MonitoringEngineeringStructural Health MonitoringSystems Engineering	2018	74
Wayside detection of faults in railway axle bearings using time spectral kurtosis analysis on high-frequency acoustic emission signals Arash Amini, Mani Entezami, Zheng Huang, Advances in Mechanical Engineering Railway TrafficFault DiagnosisCondition MonitoringEngineeringRail Transport	2016	66
Onboard detection of railway axle bearing defects using envelope analysis of high frequency acoustic emission signals Arash Amini, Mani Entezami, Mayorkinos Papaelias Case Studies in Nondestructive Testing and Evaluation Railway TrafficCondition MonitoringEnvelope AnalysisRailway WheelsetsAxle Bearing	2016	65
Roller Bearing Degradation Assessment Based on a Deep MLP Convolution Neural Network Considering Outlier Regions Dingcheng Zhang, Edward Stewart, Jiaqi Ye, IEEE Transactions on Instrumentation and Measurement Deep Multilayer PerceptronConvolutional Neural NetworkImage AnalysisMachine LearningData Science	2019	62
Perspectives on railway axle bearing condition monitoring Mani Entezami, Clive Roberts, Paul Weston, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit Fault DiagnosisEngineeringMeasurementVibration MeasurementDiagnosis	2019	56
Optimal maintenance management of offshore wind turbines by minimizing the costs Alfredo Peinado Gonzalo, Tahar Benmessaoud, Mani Entezami, Sustainable Energy Technologies and Assessments	2022	45
Effect of train speed and track geometry on the ride comfort in high-speed railways based on ISO 2631-1 Chi Liu, David Thompson, Michael J. Griffin, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit Railway TrafficEngineeringStructural DynamicsMechanical EngineeringVehicle Dynamic	2019	43
Wayside acoustic detection of train bearings based on an enhanced spline-kernelled chirplet transform Dingcheng Zhang, Mani Entezami, Edward Stewart, Journal of Sound and Vibration Wavelet TheorySignal ProcessingWayside Acoustic DetectionTrain Bearings	2020	32

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